Parallel algorithm for model-directed real-time image segmentation

Daniel T. Long; Ikram E. Abdou; Surachai Sutha

doi:10.1117/12.21216

1 September 1990 Parallel algorithm for model-directed real-time image segmentation

Daniel T. Long, Ikram E. Abdou, Surachai Sutha

Proceedings Volume 1295, Real-Time Image Processing II; (1990) https://doi.org/10.1117/12.21216
Event: 1990 Technical Symposium on Optics, Electro-Optics, and Sensors, 1990, Orlando, FL, United States

Abstract

Real-time image segmentation is a critical part of an automatic target recognizer (ATR). The segmentation of poorly resolved targets in low contrast thermal video images is a challenging task. Most edge-based segmenters are too susceptible to noise, contrast variation, and target boundary discontinuity. The problem is the lack of a fast (video rate) and robust method of grouping the relevant edge elements together while rejecting the irrelevant ones. We have overcome this problem by combining the processing power of a single instruction multiple data (SIMD) computer with a newly developed model-directed segmentation algorithm.

Citation Download Citation

Daniel T. Long, Ikram E. Abdou, and Surachai Sutha "Parallel algorithm for model-directed real-time image segmentation", Proc. SPIE 1295, Real-Time Image Processing II, (1 September 1990); https://doi.org/10.1117/12.21216

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